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IEEE Transactions on Games, Volume 10
Volume 10, Number 1, March 2018
- Julian Togelius
:
IEEE Transactions on Games: A Leading Journal for Games Research. 1-2 - Wojciech Jaskowski
Mastering 2048 With Delayed Temporal Coherence Learning, Multistage Weight Promotion, Redundant Encoding, and Carousel Shaping. 3-14 - Oswaldo Ludwig
Learning to Extract Action Descriptions From Narrative Text. 15-28 - Alberto Uriarte
Combat Models for RTS Games. 29-41 - Ricardo Lopes, Elmar Eisemann, Rafael Bidarra
Authoring Adaptive Game World Generation. 42-55 - Xiaomin Lin
Multiagent Inverse Reinforcement Learning for Two-Person Zero-Sum Games. 56-68 - Nicolas A. Barriga
Game Tree Search Based on Nondeterministic Action Scripts in Real-Time Strategy Games. 69-77 - Tobias Joppen, Miriam Ulrike Moneke, Nils Schröder, Christian Wirth
Informed Hybrid Game Tree Search for General Video Game Playing. 78-90 - Marco Tamassia
Learning Options From Demonstrations: APac-ManCase Study. 91-96 - Christopher Kawatsu
Predicting Students' Decisions in a Training Simulation: A Novel Application of TrueSkill. 97-100 - Michael Dann
Integrating Skills and Simulation to Solve Complex Navigation Tasks in Infinite Mario. 101-106 - Tristan Cazenave
Residual Networks for Computer Go. 107-110
Volume 10, Number 2, June 2018
- Andreas Stiegler
Symbolic Reasoning for Hearthstone. 113-127 - Markus Viljanen
Playtime Measurement With Survival Analysis. 128-138 - Jiao Wang
Belief-State Monte Carlo Tree Search for Phantom Go. 139-154 - Peizhi Shi
Learning Constructive Primitives for Real-Time Dynamic Difficulty Adjustment in Super Mario Bros. 155-169 - Alysson Ribeiro Da Silva
HearthBot: An Autonomous Agent Based on Fuzzy ART Adaptive Neural Networks for the Digital Collectible Card Game HearthStone. 170-181 - Aaron Isaksen
Exploring Game Space of Minimal Action Games via Parameter Tuning and Survival Analysis. 182-194 - Stephen Kelly
Discovering Agent Behaviors Through Code Reuse: Examples From Half-Field Offense and Ms. Pac-Man. 195-208 - Raluca D. Gaina
The 2016 Two-Player GVGAI Competition. 209-220 - Cédric Leboucher, Hyo-Sang Shin
An Enhanced Particle Swarm Optimization Method Integrated With Evolutionary Game Theory. 221-230
Volume 10, Number 3, September 2018
- Philipp Rohlfshagen, Jialin Liu
Pac-ManConquers Academia: Two Decades of Research Using a Classic Arcade Game. 233-256 - Adam Summerville
Procedural Content Generation via Machine Learning (PCGML). 257-270 - Levi H. S. Lelis
Procedural Generation of Game Maps With Human-in-the-Loop Algorithms. 271-280 - Niels Justesen
Playing Multiaction Adversarial Games: Online Evolutionary Planning Versus Tree Search. 281-291 - Athanasios Psaltis
Multimodal Student Engagement Recognition in Prosocial Games. 292-303 - Lucas N. Ferreira
Tanager: A Generator of Feasible and Engaging Levels forAngry Birds. 304-316 - Stefano Di Palma, Pier Luca Lanzi
Traditional Wisdom and Monte Carlo Tree Search Face-to-Face in the Card Game Scopone. 317-332
Volume 10, Number 4, 2018
- I-Chen Wu
Guest Editorial Special Issue on Deep/Reinforcement Learning and Games. 333-335 - Chao Gao
Move Prediction Using Deep Convolutional Neural Networks in Hex. 336-343 - Federico Chesani
Can Deep Networks Learn to Play by the Rules? A Case Study on Nine Men's Morris. 344-353 - Pawel Liskowski
Learning to Play Othello With Deep Neural Networks. 354-364 - Chih-Kuan Yeh, Cheng-Yu Hsieh
Automatic Bridge Bidding Using Deep Reinforcement Learning. 365-377 - Ti-Rong Wu
Multilabeled Value Networks for Computer Go. 378-389 - Michael Dann
Exploration in Continuous Control Tasks via Continually Parameterized Skills. 390-399 - Yuanda Wang
Learning to Navigate Through Complex Dynamic Environment With Modular Deep Reinforcement Learning. 400-412 - Jr-Chang Chen
Compressing Chinese Dark Chess Endgame Databases by Deep Learning. 413-422
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